Volume 12 Issue 4
Aug.  2019
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ZHANG Guang, WANG Xin-hua, LI Da-yu. Alignment error detection method of sub-eye mounting hole for bionic compound eye system[J]. Chinese Optics, 2019, 12(4): 880-887. doi: 10.3788/CO.20191204.0880
Citation: ZHANG Guang, WANG Xin-hua, LI Da-yu. Alignment error detection method of sub-eye mounting hole for bionic compound eye system[J]. Chinese Optics, 2019, 12(4): 880-887. doi: 10.3788/CO.20191204.0880

Alignment error detection method of sub-eye mounting hole for bionic compound eye system

doi: 10.3788/CO.20191204.0880
Funds:

Jilin Province Science and Technology Development Plan Project 20170309001GX

Jilin Province Key Technology R & D Project 20180201043GX

More Information
  • Corresponding author: ZHANG Guang, E-mail:zhangguang0920@163.com
  • Received Date: 12 Dec 2018
  • Rev Recd Date: 27 Jan 2019
  • Publish Date: 01 Aug 2019
  • The bionic compound eye system is a multi-sub-eye imaging system with large-field and high-resolution, which consists of a monocentric objective lens and sub-eye lens array.In order to achieve large-field seamless stitching images, it must be strictly ensured that the sub-eye optical axes are properly aligned to the center of monocentric objective lens such that the alignment error is within the tolerances of the optical design. First, the reference zero position of PSM was determined based on the auto-collimation principle. Then the PSM was fixed to all the sub-eye mounting holes with the adapter. A geometric equation for the relationship between the distance of image centroid after reflection by the monocentric objective lens relative to the reference zero point and the alignment error of the sub-eye mounting holes was calculated. Finally, the optical detection system was simulated with Lighttools and the alignment errors of all the mounting holes were detected. Experimental results indicate that the alignment errors of all the mounting holes are less than 30 μm. It can satisfy the optical tolerance requirements of less than 50 μm, which ensures the acquisition of large-field and high-resolution seamless stitching images of bionic compound eye imaging systems.

     

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